CFKD generates counterfactuals for human-guided correction of Clever Hans predictors in image classifiers, removing the need for confounder labels while scaling to multiple spurious correlations.
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Orthonormal Data Collaboration (ODC) enforces orthonormal secret and target bases so that alignment reduces to the Orthogonal Procrustes problem, yielding O(acl^2) complexity, orthogonal concordance, and downstream performance invariant to the choice of target basis.
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Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples
CFKD generates counterfactuals for human-guided correction of Clever Hans predictors in image classifiers, removing the need for confounder labels while scaling to multiple spurious correlations.
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Data Collaboration Analysis with Orthonormal Basis Selection and Alignment
Orthonormal Data Collaboration (ODC) enforces orthonormal secret and target bases so that alignment reduces to the Orthogonal Procrustes problem, yielding O(acl^2) complexity, orthogonal concordance, and downstream performance invariant to the choice of target basis.